• Asian Pacific Journal of Cancer Prevention
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• v.15 no.24
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• pp.10773-10777
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• 2015

Background: Treatment for breast cancer is mainly performed by surgical resection of primary tumors and chemotherapy. However, after tumor invasion and metastases, breast cancer is hard to control. Clarification of the pathogenic mechanisms would be helpful to the prognosis or therapy for the breast cancer. The aim of this study is to investigate the clinical and prognostic implications of legumain protein Materials and Methods: In this study, we examined mastectomy specimens from 114 breast cancer and matching, 26 adjacent non-cancerous tissues using immunohistochemistry. Results: The results indicated that positive expression of legumain protein in breast cancer was 51.8 % (59/114) and the positive expression of legumain protein in adjacent non-cancerous tissue was 11.5% (3/26). It appeared to be related with lymph node metastasis of breast cancer (p=0.02) and correlation analysis indicated that legumain expression was correlated positively with the estrogen receptor (ER) and mutant-type p53 expression (both p<0.05). Positive legumain expression was significantly associated with shorter overall survival time in breast cancer patients (log-rank p<0.01). Multivariate survival analysis suggested that the positive legumain expression was an independent predictor of poorer overall survival in patients with breast cancer (HR=0.24; 95%CI 0.11-0.65, p=0.03). Conclusions: Legumain might be a new potential biomarker for breast cancer, which may reflect the prognosis and overall survival.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1533-1537
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• 2012

In general, breast cancer is the most common malignancy among women in developed as well as some developing countries, often being the second leading cause of cancer mortality after lung cancer. Using a parametric log-logistic model to consider the effects of prognostic factors, the present study focused on the 5-year survival of women with the diagnosis of breast cancer in Southern Iran. A total of 1,148 women who were diagnosed with primary invasive breast cancer from January 2001 to January 2005 were included and divided into three prognosis groups: poor, medium, and good. The survival times as well as the hazard rates of the three different groups were compared. The log-logistic model was employed as the best parametric model which could explain survival times. The hazard rates of the poor and the medium prognosis groups were respectively 13 and 3 times greater than in the good prognosis group. Also, the difference between the overall survival rates of the poor and the medium prognosis groups was highly significant in comparison to the good prognosis group. Use of the parametric log-logistic model - also a proportional odds model - allowed assessment of the natural process of the disease based on hazard and identification of trends.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.7
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• pp.2857-2870
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• 2015

Although the incidence of breast cancer in Asia remains lower than in North America, Western Europe, and Oceania, rates have been increasing rapidly during the past few decades, and Asian countries now account for 40% of breast cancer cases diagnosed worldwide. Breast cancer mortality has also increased among Asian women, in contrast to decreased mortality in Northern America, Western Europe, and Oceania. These increased rates are associated with higher prevalence of breast cancer risk factors (e.g., reduced parity, delayed childbirth, increased obesity) that have accompanied economic development throughout the region. However, Asian regions (western, south-central, south-eastern, and eastern) and countries differ in the types and magnitude of changes in breast cancer risk factors, and cannot be viewed as a single homogeneous group. The objective of this paper was to contrast the heterogeneous epidemiology of breast cancer by Asian regions and countries, and to suggest potential avenues for future research.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1019-1024
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• 2015

Background: Survival of breast cancer patients depends on a number of factors which are not only prognostic but are also predictive. A number of studies have been carried out worldwide to find out prognostic and predictive significance of different clinicopathological and molecular variables in breast cancer. This study was carried out at Nuclear Medicine, Oncology and Radiotherapy Institute (NORI), Islamabad, to find out the impact of different factors on overall survival of breast cancer patients coming from Northern Pakistan. Materials and Methods: This observational retrospective study was carried out in the Oncology Department of NORI Hospital. A total of 2,666 patients were included. Data were entered into SPSS 20. Multinomial logistic regression analysis was performed to determine associations of different variables with overall survival. P values <0.05 were considered significant. Results: The mean age of the patients was 47.6 years, 49.5% being postmenopausal. Some 1,708 were ER positive and 1,615 were PR positive, while Her 2 neu oncogene positivity was found in 683. A total of 1,237 presented with skin involvement and 426 had chest wall involvement. Some 1,663 had > 5cm tumors. Lymph node involvement was detected in 2,131. Overall survival was less than 5 years in 669 patients, only 324 surviving for more than 10 years, and in the remainder overall survival was in the range of 5-10 years. Conclusions: Tumor size, lymph node metastases, receptor status, her 2 neu positivity, skin involvement, and chest wall involvement have significant effects whereas age and menopausal status have no significant effect on overall survival of breast cancer patients in Pakistan.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.5949-5952
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• 2013

Objectives: To compare the clinicalpathological features and prognosis between premenopausal breast cancer patients aged of <35 and ${\geq}35$ years old. Methods: The clinical data and survival status of 1498 cases premenopausal operable breast cancer treated in our hospital from 2002.1 to 2004. 12 were collected, 118 cases were aged <35. They were divided into 4 groups: Luminal A, Luminal B, HER2-positive, Triple-negative. The disease free survival (DFS) and overall survival (OS) were identified. Results: The 5-year DFS and OS rates were significantly lower in age<35 than in $age{\geq}35$ patients. In the Luminal B, HER2-positive, Triple-negative group, the 5-year recurrence risk was higher in age<35 than in $age{\geq}35$ patients, and age<35 patients' 5-year death risk was higher only in Luminal B, Triple-negative group. Regardless of whether lymph node involved, age<35 patients had a bad prognosis in both DFS and OS. Conclusions: Compared with premenopausal age ${\geq}35$ breast cancer, age<35 patients had a worse outcome.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4591-4594
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• 2013

Breast cancer is the most common cancer among Malaysian women. Other than hospital-based results, there are no documented population-based survival rates of Malaysian women for breast cancers. This populationbased retrospective cohort study was therefore conducted. Data were obtained from Health Informatics Centre, Ministry of Health Malaysia, National Cancer Registry and National Registration Department for the period from $1^{st}$ January 2000 to $31^{st}$ December 2005. Cases were captured by ICD-10 and linked to death certificates to identify the status. Only complete data were analysed. Survival time was calculated from the estimated date of diagnosis to the date of death or date of loss to follow-up. Observed survival rates were estimated by Kaplan-Meier method using SPSS Statistical Software version 17. A total of 10,230 complete data sets were analysed. The mean age at diagnosis was 50.6 years old. The overall 5-year survival rate was 49% with median survival time of 68.1 months. Indian women had a higher survival rate of 54% compared to Chinese women (49%) and Malays (45%). The overall 5-year survival rate of breast cancer patient among Malaysian women was still low for the cohort of 2000 to 2005 as compared to survival rates in developed nations. Therefore, it is necessary to enhance the strategies for early detection and intervention.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.305-309
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• 2016

PTEN protein is an important tumour suppressor factor detectable by immunohistochemistry. The goal of the present study was to investigate the prognostic role of PTEN gene expression focusing on length of survival in breast cancer patients. This descriptive-analytical study was conducted on 100 breast cancer cases referred to Sabzevar hospitals in the north east of Iran between 2010 and 2011, followed up to 2015. The PTEN gene expression of tumour tissue samples was determined using specific monoclonal antibodies. The data were analyzed using Chi-square test and Fisher's exact test. Patient length of survival was analyzed after 4 years of follow-up using the Cox regression model. The PTEN gene was expressed in 70 of 100 samples, while being found at a high level in all noncancerous samples. There was an inverse significant relationship between expression of PTEN and tumour stage and grade (p<0.001). In addition, expression of PTEN in invasive ductal tumours was less than in non-invasive tumours. There was also an inverse significant relationship between the likelihood of death and PTEN gene expression (p<0.01). These findings indicate that lack of PTEN gene expression can be sign for a worse prognosis and poor survival in breast cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.7359-7363
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• 2015

Background: As a result of significant progress made in treatment of many types of cancers during the last few decades, there have been an increased number of patients who do not experience mortality. We refer to these observations as cure or immune and models for survival data which include cure fraction are known as cure rate models or long-term survival models. Materials and Methods: In this study we used the data collected from 438 female patients with breast cancer registered in the Cancer Research Center in Shahid Beheshti University of Medical Sciences, Tehran, Iran. The patients had been diagnosed from 1992 to 2012 and were followed up until October 2014. We had to exclude some because of incomplete information. Phone calls were made to confirm whether the patients were still alive or not. Deaths due to breast cancer were regarded as failure. To identify clinical, pathological, and biological characteristics of patients that might have had an effect on survival of the patients we used a non-mixture cure rate model; in addition, a Weibull distribution was proposed for the survival time. Analyses were performed using STATA version 14. The significance level was set at $P{\leq}0.05$. Results: A total of 75 patients (17.1%) died due to breast cancer during the study, up to the last follow-up. Numbers of metastatic lymph nodes and histologic grade were significant factors. The cure fraction was estimated to be 58%. Conclusions: When a cure fraction is not available, the analysis will be changed to standard approaches of survival analysis; however when the data indicate that the cure fraction is available, we suggest analysis of survival data via cure models.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.4
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• pp.1559-1563
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• 2015

Background: Male breast cancer accounts for less than 1% of all cancers found in men. It usually presents at a later age and stage as compared to female breast cancer. Treatment strategies are extrapolated from the management of female breast cancer. Our study here looked at 18 patients diagnosed with and treated for male breast cancer at The Aga Khan University Hospital in Pakistan. We compared our findings with the existing data from Asian and Western countries. Materials and Methods: A retrospective study was conducted looking at patients with male breast cancer between January 1986 and December 2009. Patient and disease characteristics were analyzed and 5 year overall survival was calculated using Microsoft Excel and SPSS. Results: The average age at diagnosis was 52 years (38-67 years). Twelve (66.7%) patients had axillary lymphadenopathy. Stage II disease was the most common stage at presentation (9 patients, 50%). Infiltrating ductal carcinoma was seen in 16 patients (88.8%). Seven lesions were positive for both estrogen and progesterone receptors. Sixteen patients had surgery in the form of either modified radical mastectomy or radical mastectomy. Radiation was used in 7 patients in an adjuvant setting. The five year overall survival for stage I, II, III and IV disease was 100% vs 78% vs 50% vs 0%( p<0.05). Five year overall survival was 61%. None of the other prognostic factors were statistically significant. Median follow up was 15 months (3-202 months). Conclusions: Male breast cancer may be on a slow rise but is still an uncommon disease. Tumor stage and lymph node status are important prognostic markers. Public awareness and screening may help in detecting the disease at an earlier stage. Prospective trials are needed to improve the management of this disease.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6773-6777
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• 2015

We used to LASSO-Cox method for determining prognostic factors of male breast cancer survival and showed the superiority of this method compared to Cox proportional hazard model in low sample size setting. In order to identify and estimate exactly the relative hazard of the most important factors effective for the survival duration of male breast cancer, the LASSO-Cox method has been used. Our data includes the information of male breast cancer patients in Fars province, south of Iran, from 1989 to 2008. Cox proportional hazard and LASSO-Cox models were fitted for 20 classified variables. To reduce the impact of missing data, the multiple imputation method was used 20 times through the Markov chain Mont Carlo method and the results were combined with Rubin's rules. In 50 patients, the age at diagnosis was 59.6 (SD=12.8) years with a minimum of 34 and maximum of 84 years and the mean of survival time was 62 months. Three, 5 and 10 year survival were 92%, 77% and 26%, respectively. Using the LASSO-Cox method led to eliminating 8 low effect variables and also decreased the standard error by 2.5 to 7 times. The relative efficiency of LASSO-Cox method compared with the Cox proportional hazard method was calculated as 22.39. The19 years follow of male breast cancer patients show that the age, having a history of alcohol use, nipple discharge, laterality, histological grade and duration of symptoms were the most important variables that have played an effective role in the patient's survival. In such situations, estimating the coefficients by LASSO-Cox method will be more efficient than the Cox's proportional hazard method.